Predictive Data Analyst

HonorVet Technologies is a Service-Disabled Veteran-Owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring.

Location: Los Angeles, CA, 90012
Work Model: Onsite
Duration: 12 Months (Possible Extension)

About the Role

The Predictive Data Analyst will support stakeholders by defining data needs and ensuring data science and advanced analytics projects meet business objectives across various levels. The role involves using statistical programming languages and tools for data manipulation, analysis, and visualization, including end-to-end predictive modeling from exploratory analysis to deployment and results interpretation.

Responsibilities

• Manage data through querying, merging, quality control, regular reporting, special project deliverables, and documentation.
• Collaborate with IT and data engineering staff to develop data pipelines.
• Design and maintain reports and dashboards.
• Work directly with program staff to ensure analyses lead to actionable insights for decision-making and program improvement.
• Serve as the Subject Matter Expert (SME) on cross-agency justice-involved datasets and managed care plan reporting, owning the associated business logic, query design, and report definitions.
• Function as a technical lead within a collaborative team structure, consulting on the technical feasibility of project intakes.
• Take a lead role on Tableau dashboard development (or similar) and API reporting.
• Drive rigorous quality assurance.
• Handle technical documentation.
• Actively engage in team Agile/Scrum workflows by participating in daily stand-ups, backlog grooming, and sprint planning to commit to and deliver technical tasks.

Requirements

• Four (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs, leading to actionable findings and recommendations.
• Knowledge and experience in predictive analytics and tool development.
• Ability to work directly with a client-centric relational database.
• Strong technical knowledge to conduct analysis and build reports from an SQL database.
• Comfort with various analytical tools.
• Ability to take the lead on projects where the best path forward is unclear.
• Excellent interpersonal, oral, and written communication skills.
• Exceptional customer service.

Qualifications

• A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health.
• 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.